Consumer Data Research Support Service (CDRSS)

该项目将建立一个独特的消费者数据研究支持服务(CDRSS)，以供应和提供消费市场上正在出现的新形式的“大数据”。大数据的特点通常是数量大、种类多、速度快。换句话说，数据是不断变化的(例如，交通传感器可能会捕捉到个别车辆的位置，而这些车辆很少是静止的)；数据是多样的(例如，关于人们的人口统计特征、他们的运动模式、他们的生活方式和态度、社交网络)；而且数据很大，因此可以长期保留数据，因为计算机存储已经扩展到足以在许多情况下实现这一点。零售和消费者组织在从大数据中创造和提取价值方面一直处于领先地位。例如，乐购使用其会员卡计划中的数据，根据顾客的购物习惯和支出模式来描述他们的情况。这反过来又使该公司在产品开发、促销、门店格式化和网络开发方面保持了长期的竞争优势。随着呼叫者与移动电话蜂窝和无线设备进行交互，电信提供商现在每天处理数十亿笔交易。CDRSS将利用越来越多的人意识到，大消费者数据可以为社会科学问题提供独特的见解，例如与繁荣、剥夺和排斥有关的问题；身体运动和行为模式；健康生活、犯罪、家庭活动和社交网络。CDRSS将：*首次在一个安全的环境中将不同的消费者数据来源聚集在一起；*为大数据的匿名化、聚合和分析制作工具；*开发旗舰研究项目，证明消费者数据在研究中的价值；*为学术研究用户广泛获取这些数据创造手段；*探索将这种参与扩大到企业、政府和普通公众的机制；*为消费者数据分析方面的培训和能力建设做出重要贡献，因此将以这种方式对英国社会科学中的量化技能差距产生重大的积极影响；CDRSS将与现有的和拟议的投资互动，例如在管理数据、研究方法和社交媒体方面；但同时它将创建独特的资源和自己独特的用户社区。

This project will establish a unique Consumer Data Research Support Service (CDRSS) for the supply and provision of new forms of 'Big Data' which are emerging in consumer markets. Big Data are frequently characterised as being high in volume, variety and velocity. In other words the data are continually changing (for example traffic sensors may capture the position of individual vehicles which are rarely stationary); the data are diverse (for example relating to the demographic characteristics of people, their movement patterns, their lifestyles and attitudes, social networks); and simply large, so that for example it is possible to retain data over long time periods as computer storage has also expanded sufficiently to permit this in many situations.Retail and consumer organisations have been leading the way in the creation and extraction of value from Big Data. For example Tesco has used data from its Clubcard scheme to profile its customers based on their shopping habits and expenditure patterns. This in turn has allowed the company to maintain a long-term competitive advantage in product development, promotion and store formatting and network development. Telecommunications providers are now processing billions of transactions each day as callers interact with mobile telephone cells and wireless devices. The CDRSS will capitalise on the growing realisation that Big Consumer Data can provide unique insights into social science questions, for example relating to prosperity, deprivation and exclusion; physical movement and behaviour patterns; healthy living, crime, family activities and social networks. The CDRSS will:* bring together diverse sources of consumer data for the first time within a secure environment;* produce tools for the anonymisation, aggregation and analysis of big consumer data;* develop flagship research projects which demonstrate the value of consumer data in research studies; * create the means for widespread access to these data amongst academic research users; * explore mechanisms for extending this engagement to business, government and the general public;* make an important contribution to training and capacity-building in consumer data analytics, and in this way it will therefore have a significant positive effect on the quantitative skills gap in UK social science;The CDRSS will interact with existing and proposed investments, for example in Administrative Data, Research Methods, and Social Media; but at the same time it will create unique resources and its own distinctive community of users.